{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["vulnerable system", "vulnerable system version", "vulnerability", "releaser", "patch", "patch number", "supported platform", "time", "issues addressed", "common vulnerabilities and exposures"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerable system version", "time", "vulnerable system owner", "vulnerable system", "vulnerability", "supported platform", "common vulnerabilities and exposures"]}, {"event_type": "ransom", "trigger": true, "arguments": ["price", "payment method", "damage amount", "attacker", "victim", "tool", "place", "time"]}, {"event_type": "data breach", "trigger": true, "arguments": ["damage amount", "number of victim", "number of data", "purpose", "place", "compromised data", "tool", "attacker", "attack pattern"]}], "input": "Ticketfly did n't comment on whether any user information , such as credit card data , had been stolen in the cyberattack ."}
{"patch vulnerability": [], "discover vulnerability": [], "ransom": [], "data breach": [{"trigger": "had been stolen", "arguments": {"damage amount": "NAN", "number of victim": "NAN", "number of data": "NAN", "purpose": "NAN", "place": "NAN", "compromised data": ["credit card data", "user information"], "tool": "NAN", "attacker": "NAN", "attack pattern": "NAN"}}]}